Paris-Relocation Location Data Engineer

United States Digital Space LLC; Paris; Sur place; EUR 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Visa sponsorship

Housing assistance

Relocation support

French language lessons

Paris onsite office

Résumé du poste

amoTo seeks a Location Data Engineer to join our Paris team, turning large-scale raw data into signals and features used across products and analytics. You will design and maintain data pipelines, develop features for production systems, and collaborate with product, engineering, and data teams.

You will work with SQL-heavy datasets, build data products, and explore complex data to improve model accuracy and reporting.

Qualifications

• Strong software engineering fundamentals and experience with data-intensive systems.
• Very comfortable with SQL and manipulating large datasets.
• Experience with one or more data technologies such as Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB.
• Strong analytical skills and ability to turn exploration into production pipelines.
• Familiarity with data modeling, pipeline orchestration, and large-scale data processing.
• Ability to communicate findings through metrics, visualizations, dashboards, or other tools.

Responsabilités

• Make sense of data by exploring large datasets and identifying patterns.
• Transform raw data into reliable features for products and engineering.
• Build, maintain pipelines processing large data volumes.
• Prototype ideas on historical data and scale pipelines for production.
• Build datasets and features powering product experiences and ML models.
• Create analyses, dashboards, and visualizations to aid decision making.
• Develop tooling to inspect data and debug pipelines.
• Collaborate with engineers and product teams to apply data insights.

Connaissances

SQL

Data pipelines

Data analysis

Outils

Spark

DBT

Dagster

BigQuery

ClickHouse

DuckDB

Description du poste

amoTo seeks a Location Data Engineer to join our Paris team, turning large-scale raw data into signals and features used across products and analytics. You will design and maintain data pipelines, develop features for production systems, and collaborate with product, engineering, and data teams.

You will work with SQL-heavy datasets, build data products, and explore complex data to improve model accuracy and reporting.